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README.md

@@ -14,67 +14,6 @@ tags:
 - stochastic-block-model
 - complete-graph
 - graph-qa
-dataset_info:
-  features:
-  - name: algorithm
-    dtype: string
-  - name: edge_list
-    dtype: string
-  - name: node_count
-    dtype: int64
-  - name: edge_count
-    dtype: int64
-  - name: node_degree_node
-    dtype: int64
-  - name: node_degree
-    dtype: int64
-  - name: edge_existence_src
-    dtype: int64
-  - name: edge_existence_dst
-    dtype: int64
-  - name: edge_existence
-    dtype: bool
-  - name: cycle_check
-    dtype: bool
-  - name: triangle_count
-    dtype: int64
-  - name: connected_nodes_node
-    dtype: int64
-  - name: connected_nodes
-    dtype: string
-  - name: reachability_src
-    dtype: int64
-  - name: reachability_dst
-    dtype: int64
-  - name: reachability
-    dtype: bool
-  - name: shortest_path_src
-    dtype: int64
-  - name: shortest_path_dst
-    dtype: int64
-  - name: shortest_path
-    dtype: int64
-  splits:
-  - name: train
-    num_bytes: 6331306
-    num_examples: 10000
-  - name: validation
-    num_bytes: 648652
-    num_examples: 1000
-  - name: test
-    num_bytes: 637077
-    num_examples: 1000
-  download_size: 1545715
-  dataset_size: 7617035
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
-  - split: validation
-    path: data/validation-*
-  - split: test
-    path: data/test-*
 ---
 
 # Graph Dataset with Task Labels
@@ -98,7 +37,7 @@ This dataset contains synthetic graphs represented as edge lists, along with gro
 | Field | Type | Description |
 |-------|------|-------------|
 | `algorithm` | string | Graph generation algorithm: `erdos_renyi`, `barabasi_albert`, `watts_strogatz`, `stochastic_block_model`, or `complete` |
-| `edge_list` | string | Edge list in format `(u, v), (x, y), ...` |
+| `edge_list` | string | Edge list in format `[(u, v), (x, y), ...]` |
 
 #### Task Columns
 
@@ -160,10 +99,9 @@ import ast
 
 def parse_edge_list(edge_list_str):
     """Parse edge list string to list of tuples."""
-    if not edge_list_str:
+    if not edge_list_str or edge_list_str == "[]":
         return []
-    edges_str = f"[{edge_list_str}]"
-    return ast.literal_eval(edges_str)
+    return ast.literal_eval(edge_list_str)
 
 sample = dataset["train"][0]
 edges = parse_edge_list(sample["edge_list"])